Machine learning enables predictive modeling of 2-D materials
Thursday, December 8, 2016 - 09:31
in Physics & Chemistry
Scientists have used machine learning tools to create the first atomic-level model that accurately predicts the thermal properties of stanene, a 2-D material made up of a one-atom-thick sheet of tin.